| Literature DB >> 21533161 |
Abstract
During the 2009 H1N1 pandemic, a vaccine was made available to all Canadians. Despite efforts to promote vaccination, the public's intent to vaccinate remained low. In order to better understand the public's resistance to getting vaccinated, this study addressed factors that influenced the public's decision making about uptake. To do this, we used a relatively novel source of qualitative data--comments posted on-line in response to news articles on a particular topic. This study analysed 1,796 comments posted in response to 12 articles dealing with H1N1 vaccine on websites of three major Canadian news sources. Articles were selected based on topic and number of comments. A second objective was to assess the extent to which on-line comments can be used as a reliable data source to capture public attitudes during a health crisis. The following seven themes were mentioned in at least 5% of the comments (% indicates the percentage of comments that included the theme): fear of H1N1 (18.8%); responsibility of media (17.8%); government competency (17.7%); government trustworthiness (10.7%); fear of H1N1 vaccine (8.1%); pharmaceutical companies (7.6%); and personal protective measures (5.8%). It is assumed that the more frequently a theme was mentioned, the more that theme influenced decision making about vaccination. These key themes for the public were often not aligned with the issues and information officials perceived, and conveyed, as relevant in the decision making process. The main themes from the comments were consistent with results from surveys and focus groups addressing similar issues, which suggest that on-line comments do provide a reliable source of qualitative data on attitudes and perceptions of issues that emerge in a health crisis. The insights derived from the comments can contribute to improved communication and policy decisions about vaccination in health crises that incorporate the public's views.Entities:
Mesh:
Year: 2011 PMID: 21533161 PMCID: PMC3078916 DOI: 10.1371/journal.pone.0018479
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Reader profile for vancouversun.com, globeandmail.com and cbc.ca.
| Category | Subcategory | Vancouversun.com | Globeandmail.com | CBC.ca |
| Sex | Female | 47% | 36% | 50% |
| Male | 53% | 64% | 50% | |
| Age | Under 25 | 16% | 5% | 15% |
| 25–34 | 23% | 17% | 18% | |
| 35–44 | 20% | 19% | 21% | |
| 45–54 | 21% | 25% | 22% | |
| 55+ | 21% | 34% | 24% | |
| Region | Atlantic | 4% | 6% | 12% |
| Quebec | 5% | 3% | 7% | |
| Ontario | 31% | 67% | 44% | |
| Prairies | 13% | 12% | 20% | |
| BC | 47% | 12% | 17% | |
| Household Income | $75k+ | 37% | n/a | 45% |
| $100k+ | 18% | 53% | n/a | |
| Number of unique monthly visitors | 1,300,000 | 6,000,000 | 5,800,000 |
*globeandmail.com regional readership information is based on readership of the Globe and Mail print weekday newspaper. This information is not available for their on-line news readers.
**All data on number of unique monthly visitors was taken from Globe and Mail: About our digital network.
Reader profile information taken from Vancouver Sun Advertising Plan Book (2010).
Reader profile information taken from Globe and Mail: About our digital network, Globe and Mail: 2011 Media Kit, Globe Website User Profiling Study (2010), and Globe Readership and Circulation (2009).
Reader profile information taken from CBC.ca audience profile (2010).
Articles included in the study.
| News source | Date | Headline | Total # of comments | # of comments included in analysis |
| CBC | November 6, 2009 | H1N1 overplayed by media, public health: MDs | 847 | 202 |
| CBC | June 11, 2009 | WHO declares swine flu pandemic, no change in Canada's approach | 348 | 206 |
| CBC | August 6, 2009 | Canada to order 50.4 million H1N1 vaccine doses | 674 | 201 |
| CBC | April 29, 2009 | WHO boosts pandemic alert level to 5 | 754 | 201 |
| CBC | April 30, 2009 | Canada doing all that's needed to respond to swine flu: PM | 285 | 202 |
| Vancouver Sun | October 24, 2009 | Column: Swine flu shot? Not for this little piggy | 161 | 151 |
| Vancouver Sun | October 26, 2009 | Urban myths about the H1N1 vaccine | 70 | 64 |
| Vancouver Sun | November 18, 2009 | Canucks jumped the H1N1 vaccine queue, health officer says | 108 | 103 |
| Globe and Mail | August 12, 2009 | A summer of discontent over Ottawa's flu plan | 117 | 62 |
| Globe and Mail | October 23, 2009 | Health officials scramble to counter H1N1 myths | 296 | 137 |
| Globe and Mail | November 1, 2009 | Health officials caught off guard by demand for H1N1 shot | 268 | 140 |
| Globe and Mail | November 2, 2009 | MPs debate H1N1 vaccine rollout | 265 | 126 |
*The total number of comments includes all comments posted for an article.
**The number of comments included per article in the analysis differs from total number of comments for that article because only one comment per commenter was included and approximately 200 comments were randomly selected for inclusion for articles with more than 200 comments (after removing multiple comments from the same commenter).
Percentage of comments containing each theme and code.
| Themes | Codes (% of comments WITHIN a theme) |
| Fear of H1N1 (18.8%) | Low fear (63%) |
| High fear (37%) | |
| Responsibility of media (17.8%) | Media responsible (15%) |
| Media irresponsible (85%) | |
| Gov't competency (17.7%) | Gov't competent (21%) |
| Gov't incompetent (79%) | |
| Gov't trustworthy (10.7%) | Gov't trustworthy (3%) |
| Gov't untrustworthy (97%) | |
| Fear of H1N1 vaccine (8.1%) | Low fear (27%) |
| High fear (73%) | |
| Pharmaceutical companies (7.6%) | Pharmaceutical companies (100.0%) |
| Personal protective measures (5.8%) | Personal protective measures (100.0%) |
| Gov't general statements | General statements- positive (9%) |
| General statements- negative (91%) | |
| Media trustworthy (4.2%) | Media trustworthy (5%) |
| Media untrustworthy (95%) | |
| Anti-vaccines (3.8%) | Anti-vaccines (100.0%) |
| World Health Organization (WHO)e (3.2%) | WHO – positive (28%) |
| WHO – negative (72%) | |
| Author | Author – positive (38%) |
| Author – negative (63%) | |
| Public good (3.0%) | Public good (100.0%) |
| Equity (2.1%) | Equity (100.0%) |
| Individual choice (2.1%) | Individual choice (100.0%) |
| Confusing information | Confusing information (100.0%) |
| Feeling confused | Feeling confused (100.0%) |
Unless otherwise indicated, themes were derived from previously conducted focus groups that examined attitudes and concerns about new vaccines for use in a pandemic.
These themes emerged from the comments.
These themes were created based on issues the authors felt may be relevant given the situation and coverage surrounding the pandemic.
Subthemes for themes mentioned in at least 5% of comments.
| Theme | Subtheme |
| Fear of H1N1 (low) | Few deaths have been caused by H1N1 |
| H1N1 is not different from seasonal flu | |
| Seasonal flu is more deadly than H1N1 | |
| Fear of H1N1 (high) | H1N1 is a new disease |
| Risk of mutation | |
| Young adults are dying | |
| High mortality and/or severe morbidity | |
| Government competency (incompetent) | General incompetence |
| Government took wrong or inadequate measures | |
| Prime Minister and public health authorities blamed | |
| Government trustworthiness (untrustworthy) | Government motivated by politics |
| Government motivated by economic/financial incentives | |
| General mistrust of government | |
| Fear of H1N1 vaccine (high) | Fear of adjuvants |
| Fear of mercury | |
| Insufficient testing and lack of information about side effects | |
| Mistrust of government claims about vaccine safety | |
| Fear of H1N1 vaccine (low) | Risks of H1N1 greater than risks of the vaccine |
| Vaccine is safe | |
| Pharmaceutical companies | Government financially supporting pharmacy industry |
| Government protecting pharmaceutical industry | |
| Pharmaceutical companies benefit from the pandemic | |
| Personal protective measures | Basic prevention |
| Diet/dietary supplements |
Figure 1Coding by time period for themes with a consistent trend over time.
Frequency of codes associated with the 8 themes that showed a consistent increase or decrease across time periods, by time period.
Figure 2Themes by news source.
Frequency of themes within each news source; includes themes associated with at least 5% of comments from at least one news source.